作者: Fan, Xiumei1; Wang, Chao2; Yu, Jiguo3; Xing, Kai4; Chen, Yingwen5; Liang, Jiawei6 (1School of Automation and Information Engineering, Xi'An University of Technology, Xi'an, Shaanxi; 710048, China;2School of Computer Science, Beijing Institute of Technology, Beijing; 100081, China;3School of Information Science and Engineering, Qufu Normal University, Rizhao, Shandong; 276826, China;4School of Computer Science and Technology, University of Science and Technology of China, HeFei, Anhui; 230027, China;5College of Computer, National University of Defense Technology, Changsha, Hunan; 410073, China;6School of Optoelectronics, Beijing Institute of Technology, Beijing; 100081, China)
出处: International Journal of Distributed Sensor Networks 2015
作者: Wei, Xiaodong1; Weng, Dongdong2; Liu, Yue2; Wang, Yongtian1 (1School of Computer Science and Technology, Beijing Institute of Technology, No. 5, South Zhongguzncun Street, Haidian Zone, Beijing; 100081, China;2School of Optoelectronics, Beijing Institute of Technology, No. 5, South Zhongguzncun Street, Haidian zone, Beijing; 100081, China)
出处: Computers and Education 2015 P221-234
作者: Niu, Lijun1; Zhou, Ya1; Hu, Xiaoming2; Zhou, Chang1
出处: 2015 International Conference on Optical Instruments and Technology: Optical Systems and Modern Optoelectronic Instruments, OIT 2015 Beijing, China 2015
作者: Yunchao Zhang,[2] Jing Chen,\'(1)\'[;] Xiujie Huang,\'(1)\' and Yongtian Wang\'(1)\'[2] (School of computer science & technology, Beijing Institute of Technology, Beijing, China. School of optoelectronics, Beijing Institute of Technology, Beijing, China. School of optoelectronics, Beijing Institute of Technology, Beijing, China. School of optoelectronics, Beijing Institute of Technology, Beijing, China; School of computer science & technology, Beijing Institute of Technology, Beijing, China.)
出处: PLoS ONE 2015 Vol.10 No.7 Pe0131721
关键词: Processamento de Imagem Assistida por Computador/métodos;Reconhecimento Automatizado de Padrão/métodos;Algoritmos;Inteligência Artificial;Análise por Conglomerados;Bases de Dados Factuais;Interpretação de Imagem Assistida por Computador/métodos;Armazenamento e Recuperação da Informação;Modelos Estatísticos;Probabilidade;Software
摘要: Feature coding and pooling as a key component of image retrieval have been widely studied over the past several years. Recently sparse coding with max ...
作者: 靳贵珍;;辜风羽;; (1北京理工大学教育研究院,北京 2北京理工大学光电学院,北京)
出处: Advances in Education 2015 Vol.5 No.3 P43-49
关键词: 卓越工程师教育培养计划;问题;原因;对策;Excellence Engineers Education Program;Issues;Causes;Countermeasure
摘要: Excellence Engineers Education Program was launched in 2010, which aimed at high-quality engineering talents cultivation. Beijing Institute of Technol ...
作者: Zhe Jia1;Hui Zhao1;Ying Bai2;Ting Zhang3;Amanda S. Lupinacci4;Andrew M. Minor4;Gao Liu;1; (1Energy Technologies Area, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA;2Energy Technologies Area, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA;and School of Chemical Engineering & Environment, Beijing Institute of Technology, Beijing 100081, China;3School of Optoelectronics, Beijing Institute of Technology, Beijing 100081, China;4Department of Materials Science and Engineering, University of California, Berkeley, Berkeley, California 94720, USA;and National Center for Electron Microscopy, Molecular Foundry, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA)
出处: Journal of Materials Research 2015 Vol.30 No.22 P3403-3411
关键词: polymer composite;conductive polymer;carbon nanotube;solvent process;OLED
摘要: Single-walled carbon nanotube (SWNT) and conductive polymer composite were studied as a potential electrode candidate for plastic electronic devices s ...
作者: 杨盛谊,付春杰,陶健,李玮乐,何波,许峻峰,邹炳锁,倪国强 (北京理工大学物理学院,纳米光子学与超精密光电系统北京市重点实验室;北京理工大学光电学院,光电成像技术与系统教育部重点实验室)
出处: 第九届全国暨华人有机分子和聚合物发光学术会议暨第一届有机电子学术会议 2015
会议录: 第九届全国暨华人有机分子和聚合物发光学术会议暨第一届有机电子学术会议论文集
关键词: 胶体量子点;红外探测器;IV-VI族窄带隙半导体;场效应晶体管
作者: 韩宝玲1;宋明辉1;罗庆生2;张天3; (1北京理工大学机械与车辆学院;2北京理工大学机电学院;3北京理工大学光电学院)
出处: 计算机测量与控制 2015 第7期 P2363-2365,2370
关键词: 四足机器人;逆运动学;步态规划;静态稳定步态
摘要: 针对现有技术文献中广泛使用的多种静态稳定步态中速度稳定性与稳定裕度不可兼得的通病,在随动质心的静态步态基础上,利用参数化坐标变换矩阵方法规划出一种四足机器人前进过程中质心以曲线轨迹移动的静态步态方法,使该步态方法以连续性速度运动的过程中保证一定稳定裕度;通过D-H法求得四足机器人的逆运动学坐标变换矩 ...
作者: 张天1;杨晨曦2;朱颖1;宋明辉3;张地4; (1北京理工大学光电学院;2北京理工大学信息与电子学院;3北京理工大学机械与车辆学院;4郑州大学国际学院)
出处: 传感器与微系统 2015 第5期 P150-153
关键词: 双目视觉传感器;超声测距传感器;卡尔曼滤波算法;匀速模型;STF算法;机器人避障
摘要: 为提高仿生四足机器人在复杂、动态环境下对障碍物位置信息的感知能力,针对机器人在结构化路面上以Walk步态行走的情况,对双目视觉传感器和超声测距传感器获取的障碍物距离信息进行融合研究。首先,对两种传感器获取的障碍物距离信息进行卡尔曼滤波,降低环境中杂波的影响,然后,根据STF融合算法,利用滤波后得到的 ...
作者: 李艳芳,岳建会,孟辉 (山东省光纤传感重点实验室山东省科学院激光研究所;北京理工大学光电学院;山东微感光电子有限公司)
出处: 山东科学 2014 第27卷 第3期 P51-56
关键词: 光谱吸收;光纤光栅;甲烷;氧气;温度;压力;瓦斯抽采管道
摘要: 应用光谱吸收和光纤光栅技术,研制了基于光纤传感的瓦斯抽采管道安全监测系统。对管道内的甲烷、氧气、温度以及压力等关键参数进行实时在线监测,并根据温度、压力参数对甲烷浓度进行补偿,补偿后系统的精度分别提高了7%和11%。现场实验结果表明,此方法能够实现对瓦斯抽采管道的安全监测。